Understanding the rise in traditional contraceptive methods use in Uttar Pradesh, India.

BACKGROUND: The sustainable development goals (SDG) aim at satisfying three-fourths of family planning needs through modern contraceptive methods by 2030. However, the traditional methods (TM) of family planning use are on the rise, along with modern contraception in Uttar Pradesh (UP), the most populous Indian state. This study attempts to explore the dynamics of rising TM use in the state. METHODS: We used a state representative cross-sectional survey conducted among 12,200 Currently Married Women (CMW) aged 15-49 years during December 2020-February 2021 in UP. Using a multistage sampling technique, 508 primary sampling units (PSU) were selected. These PSU were ASHA areas in rural settings and Census Enumeration Blocks in urban settings. About 27 households from each PSU were randomly selected. All the eligible women within the selected households were interviewed. The survey also included the nearest public health facilities to understand the availability of family planning methods. Univariate and bivariate analyses were conducted. Appropriate sampling weights were applied. RESULTS: Overall, 33.9% of CMW were using any modern methods and 23.7% any TM (Rhythm and withdrawal) at the time of survey. The results show that while the modern method use has increased by 2.2 percentage points, the TM use increased by 9.9 percentage points compared to NFHS-4 (2015-16). The use of TM was almost same across women of different socio-demographic characteristics. Of 2921 current TM users, 80.7% started with TM and 78.3% expressed to continue with the same in future. No side effects (56.9%), easy to use (41.7%) and no cost incurred (38.0%) were the main reasons for the continuation of TM. TM use increased despite a significant increase (66.1 to 81.3%) in the availability of modern reversible methods and consistent availability of limiting methods (84.0%) in the nearest public health facilities. CONCLUSION: Initial contraceptive method was found to have significant implications for current contraceptive method choice and future preferences. Program should reach young and zero-parity women with modern method choices by leveraging front-line workers in rural UP. Community and facility platforms can also be engaged in providing modern method choices to women of other parities to increase modern contraceptive use further to achieve the SDG goals.

In Uttar Pradesh, the use of traditional methods of contraception is on the rise, observed similarly in many other Indian states in recent times. The emphasis on modern contraceptive methods and the rise and high prevalence of traditional method use in the state call for a systematic assessment to understand the dynamics such as patterns, prevalence and reasons for traditional method use for better family planning programming. Using a state representative cross-sectional survey data from Uttar Pradesh, we attempted to understand the dynamics of increasing traditional methods use. We found no significant variations in use of traditional methods by their socio-demographic characteristics. Not only that, most current traditional method users reported that their first method was a traditional method and an overwhelming proportion of women (4/5 traditional methods users) expressed to continue with the same method in future. Also the findings reveal that more than half of the traditional method users used the method consistently over the three-years calendar period. Among those who had unmet need at the time of survey, a considerable proportion of them intend to use traditional methods in future. This emphasized the importance of initial contraceptive method choice on current contraceptive use and future preference. Traditional methods use increased in the state despite a significant increase (66.1 to 81.3% during 2018 to 2021) in availability of modern reversible methods and consistent availability of limiting method (84.0%) in public health facilities.

Understanding the Prevalence and Geographic Heterogeneity of SARS-CoV-2 Infection: Findings of the First Serosurvey in Uttar Pradesh, India.

Population-based serological antibody test for SARS-CoV-2 infection helps in estimating the exposure in the community. We present the findings of the first district representative seroepidemiological survey conducted between 4 and 10 September 2020 among the population aged 5 years and above in the state of Uttar Pradesh, India. Multi-stage cluster sampling was used to select participants from 495 primary sampling units (villages in rural areas and wards in urban areas) across 11 selected districts to provide district-level seroprevalence disaggregated by place of residence (rural/urban), age (5-17 years/aged 18 +) and gender. A venous blood sample was collected to determine seroprevalence. Of 16,012 individuals enrolled in the study, 22.2% [95% CI 21.5-22.9] equating to about 10.4 million population in 11 districts were already exposed to SARS-CoV-2 infection by mid-September 2020. The overall seroprevalence was significantly higher in urban areas (30.6%, 95% CI 29.4-31.7) compared to rural areas (14.7%, 95% CI 13.9-15.6), and among aged 18 + years (23.2%, 95% CI 22.4-24.0) compared to aged 5-17 years (18.4%, 95% CI 17.0-19.9). No differences were observed by gender. Individuals exposed to a COVID confirmed case or residing in a COVID containment zone had higher seroprevalence (34.5% and 26.0%, respectively). There was also a wide variation (10.7-33.0%) in seropositivity across 11 districts indicating that population exposed to COVID was not uniform at the time of the study. Since about 78% of the population (36.5 million) in these districts were still susceptible to infection, public health measures remain essential to reduce further spread.

Association of identification of facility and transportation for childbirth with institutional delivery in high priority districts of Uttar Pradesh, India.

BACKGROUND: Timely and skilled care is key to reducing maternal and neonatal mortality. Birth preparedness involves preparation for safe childbirth during the antenatal period to reach the appropriate health facility for ensuring safe delivery. Hence, understanding the factors associated with birth preparedness and its significance for safe delivery is essential. This paper aims to assess the levels of birth preparedness, its determinants and association with institutional deliveries in High Priority Districts of Uttar Pradesh, India. METHODS: A community-based cross-sectional survey was conducted between June-October 2018 in the rural areas of 25 high priority districts of Uttar Pradesh, India. Simple random sampling was used to select 40 blocks among 294 blocks in 25 districts and 2646 primary sampling units within the selected blocks. The survey interviewed 9458 women who had a delivery 2 months prior to the survey. Descriptive statistics were included to characterize the study population. Multivariable logistic regression analyses were performed to identify the determinants of birth preparedness and to examine the association of birth preparedness with institutional delivery. RESULTS: Among the 9458 respondents, 61.8% had birth preparedness (both facility and transportation identified) and 79.1% delivered in a health facility. Women in other caste category (aOR = 1.24, CI 1.06-1.45) and those with 10 or more years of education (aOR = 1.68, CI 1.46-1.92) were more likely to have birth preparedness. Antenatal care (ANC) service uptake related factors like early registration for ANC (aOR = 1.14, CI 1.04-1.25) and three or more front line worker contacts (aOR = 1.61, CI 1.46-1.79) were also found to be significantly associated with birth preparedness. The adjusted multivariate model showed that those who identified both facility and transport were seven times more likely to undergo delivery in a health facility (aOR = 7.00, CI 6.07-8.08). CONCLUSION: The results indicate the need for focussing on marginalized groups for improving birth preparedness. Increasing ANC registration in the first trimester of pregnancy, improving frontline worker contact, and optimum utilization of antenatal care check-ups for effective counselling on birth preparedness along with system level improvements could improve birth preparedness and consequently institutional delivery rates in Uttar Pradesh, India.

Establishing evidence-based decision-making mechanism in a health eco-system and its linkages with health service coverage in 25 high-priority districts of Uttar Pradesh, India.

BACKGROUND: Achievement of successful health outcomes depends on evidence-based programming and implementation of effective health interventions. Routine Health Management Information System is one of the most valuable data sets to support evidence-based programming, however, evidence on systemic use of routine monitoring data for problem-solving and improving health outcomes remain negligible. We attempt to understand the effects of systematic evidence-based review mechanism on improving health outcomes in Uttar Pradesh, India. METHODS: Data comes from decision-tracking system and routine health management information system for period Nov-2017 to Mar-2019 covering 6963 health facilities across 25 high-priority districts of the state. Decision-tracking data captured pattern of decisions taken, actions planned and completed, while the latter one provided information on service coverage outcomes over time. Three service coverage indicators, namely, pregnant women receiving 4 or more times ANC and haemoglobin testing during pregnancy, delivered at the health facility, and receive post-partum care within 48 h of delivery were used as outcomes. Univariate and bivariate analyses were conducted. RESULTS: Total 412 decisions were taken during the study reference period and a majority were related to ante-natal care services (31%) followed by delivery (16%) and post-natal services (16%). About 21% decisions-taken were focused on improving data quality. By 1 year, 67% of actions planned based on these decisions were completed, 26% were in progress, and the remaining 7% were not completed. We found that, over a year, districts witnessing > 20 percentage-point increase in outcomes were also the districts with significantly higher action completion rates (> 80%) compared to the districts with < 10 percentage-point increase in outcomes having completion of action plans around 50-70%. CONCLUSIONS: Findings revealed a significantly higher improvement in coverage outcomes among the districts which used routine health management data to conduct monthly review meetings and had high actions completion rates. A data-based review-mechanisms could specifically identify programmatic gaps in service delivery leading to strategic decision making by district authorities to bridge the programmatic gaps. Going forward, establishing systematic evidence-based review platforms can be an important strategy to improve health outcomes and promote the use of routine health monitoring system data in any setting.

Associations between community health workers' home visits and education-based inequalities in institutional delivery and perinatal mortality in rural Uttar Pradesh, India: a cross-sectional study.

INTRODUCTION: India's National Health Mission has trained community health workers called Accredited Social Health Activists (ASHAs) to visit and counsel women before and after birth. Little is known about the extent to which exposure to ASHAs' home visits has reduced perinatal health inequalities as intended. This study aimed to examine whether ASHAs' third trimester home visits may have contributed to equitable improvements in institutional delivery and reductions in perinatal mortality rates (PMRs) between women with varying education levels in Uttar Pradesh (UP) state, India. METHODS: Cross-sectional survey data were collected from a representative sample of 52 615 women who gave birth in the preceding 2 months in rural areas of 25 districts of UP in 2014-2015. We analysed the data using generalised linear modelling to examine the associations between exposure to home visits and education-based inequalities in institutional delivery and PMRs. RESULTS: Third trimester home visits were associated with higher institutional delivery rates, in particular public facility delivery rates (adjusted risk ratio (aRR) 1.32, 95% CI 1.30 to 1.34), and to a lesser extent private facility delivery rates (aRR 1.09, 95% CI 1.04 to 1.13), after adjusting for confounders. Associations were stronger among women with lower education levels. Having no compared with any third trimester home visits was associated with higher perinatal mortality (aRR 1.18, 95% CI 1.09 to 1.28). Having any versus no visits was more highly associated with lower perinatal mortality among women with lower education levels than those with the most education, and most notably among public facility births. CONCLUSIONS: The results suggest that ASHAs' home visits in the third trimester contributed to equitable improvements in institutional deliveries and lower PMRs, particularly within the public sector. Broader strategies must reinforce the role of ASHAs' home visits in reaching the sustainable development goals of improving maternal and newborn health and leaving no one behind.

Association of prenatal counselling and immediate postnatal support with early initiation of breastfeeding in Uttar Pradesh, India.

BACKGROUND: Timely initiation of breastfeeding, also known as early initiation of breastfeeding, is a well-recognized life-saving intervention to reduce neonatal mortality. However, only one quarter of newborns in Uttar Pradesh, India were breastfed in the first hour of life. This paper aims to understand the association of community-based prenatal counselling and postnatal support at place of delivery with early initiation of breastfeeding in Uttar Pradesh, India. METHODS: Data from a cross-sectional survey of 9124 eligible women (who had a live birth in 59 days preceding the survey) conducted in 25 districts of Uttar Pradesh, India, in 2018, were used. Simple random sampling was used to randomly select 40 Community Development Blocks (sub district administrative units) in 25 districts. The Primary Sampling Units (PSUs), health service delivery unit for frontline workers, were selected randomly from a linelisting of PSUs in each selected Community Development Block. Bivariate and multivariate logistic regression analyses were performed to assess the association of prenatal counselling and postnatal support on early initiation of breastfeeding in public, private and home deliveries. RESULTS: Overall 48.1% of mothers initiated breastfeeding within an hour, with major variation by place of delivery (61.2% public, 23.6% private and 32.6% home). The adjusted odds ratio (aOR) of early initiation of breastfeeding was highest among mothers who received both counselling and support (aOR 2.67; 95% CI 2.30, 3.11), followed by those who received only support (aOR 1.99; 95% CI 1.73, 2.28), and only counselling (aOR 1.40; 95% CI 1.18, 1.67) compared to mothers who received none. The odds of early initiation of breastfeeding was highest among mothers who received both prenatal counselling and postnatal support irrespective of delivery at public health facilities (aOR 2.49; 95% CI 2.07, 3.01), private health facilities (aOR 3.50; 95% CI 2.25, 5.44), or home (aOR 2.84; 95% CI 2.02, 3.98). CONCLUSIONS: A significant association of prenatal counselling and postnatal support immediately after birth on improving early initiation of breastfeeding, irrespective of place of delivery, indicates the importance of enhancing coverage of both the interventions through community and facility-based programs in Uttar Pradesh.

Does the preference for location of childbirth change for successive births? Evidence from the states and regions of India.

Universal health coverage is central to the development agenda to achieve maternal and neonatal health goals. Although there is evidence of a growing preference for institutional births in India, it is important to understand the pattern of switching location of childbirth and the factors associated with it. This study used data from the fourth round of the National Family and Health Survey (NFHS-4) conducted in India in 2015-16. The study sample comprised 59,629 women who had had at least two births in the five years preceding the survey. Bivariate and multivariate logistic regression analyses were applied to the data. About 16.4% of the women switched their location of childbirth between successive births; 9.1% switched to a health facility contributing to a net increment of 1.9% in institutional delivery, varying greatly across states and regions. There was at least a 4 percentage point net increment in institutional births in Chhattisgarh, Bihar, Punjab and Haryana, but the shift was more in favour of home births in Madhya Pradesh, Odisha and West Bengal. Women with high parity and a large birth interval had higher odds of switching their place of childbirth, and this was in favour of a health facility, while women with higher education, from lower social groups, living in urban areas, who had not received four antenatal care visits, and who belonged to a higher wealth quintile had higher odds of switching their place of childbirth to a health facility, despite having lower odds of switching their childbirth location. The study provides evidence of women in India switching their location of childbirth for successive births, and this was more prevalent in areas where the rate of institutional delivery was low. Only a few states showed a higher net increment in favour of a health facility. This suggests that there is a need for action in specific states and regions of India to achieve universal health coverage.

The contribution of district prioritization on maternal and newborn health interventions coverage in rural India.

BACKGROUND: In 2001, India prioritized eight most socioeconomically disadvantaged states known as Empowered Action Group (EAG) states and in 2013, it prioritized 190 of the 718 as high priority districts (HPDs) to accelerate the decline in maternal and newborn mortality. This paper assesses whether the HPDs achieved a greater coverage of maternal and newborn health interventions than the non-HPDs and HPDs in EAG states achieved greater coverage than those in non-EAG states. METHODS: We used data from the Sample Registration System to assess rural neonatal mortality trends in EAG states and all India. We computed a co-coverage index based on seven maternal and newborn health interventions from the 2015/16 National Family Health Survey. Difference in differences (DID) analyses were used to examine the contribution of district prioritization, considering the HPDs and the illiterate as treatment groups and 2013 as the time cut-off for the pre- and post-treatment. RESULTS: Neonatal mortality declined in rural India from 36 to 27 per 1000 live births during 2010-2016 at 4.5% per year. Four EAG states experienced faster rates of decline than the national rate. From 2013, the co-coverage index increased significantly more in the HPDs compared to non-HPDs (DID = 0.11, P ≤ 0.005). The district prioritization effect on co-coverage was statistically significant in only EAG states (DID = 0.13, P ≤ 0.05). The coverage gains for illiterate mothers were greater than for literate mothers, especially in the HPDs. CONCLUSIONS: The district prioritization in India is associated with greater improvements in the coverage of maternal and newborn health services in EAG states and the HPDs, including reductions in inequalities within those states and districts. There are however still large gaps between states and districts and within districts by the mother's literacy status that need further prioritization to make progress towards the SDG targets by 2030.

Fertility and family planning in Uttar Pradesh, India: major progress and persistent gaps.

BACKGROUND: Uttar Pradesh (UP) is the most populous state in India with historically high levels of fertility rates than the national average. Though fertility levels in UP declined considerably in recent decades, the current level is well above the government's target of 2.1. DATA AND METHODS: Fertility and family planning data obtained from the different rounds of Sample Registration System (SRS) and the National Family Health Survey (NFHS). We analyzed fertility and family planning trends in India and UP, including differences in methods mix, using SRS (1971-2016) and NFHS (1992-2016). Bivariate and multivariate regression analyses were used. RESULTS: From 2000, while the total fertility rate (TFR) declined in UP, it is still well above the national level in 2015-16 (2.7 vs 2.18, respectively). The demand for family planning satisfied increased from 52 to 72% during 1998-99 to 2015-16 in UP, compared to an increase from 75 to 81% in India. Traditional methods play a much greater role in UP than in India (22 and 9% of the demand satisfied respectively), while use of sterilization was relatively low in UP when compared to the national averages (18.0 and 36.3% of current married women 15-49 years in UP and India, respectively in 2015-16). Within UP, district fertility ranged from 1.6 to 4.4, with higher fertility concentrated in districts with low female schooling, predominantly located in north-central UP. Fertility declines were largest in districts with high fertility in the late nineties (B = 7.33, p < .001). Among currently married women, use of traditional methods increased and accounted for almost one-third of users in 2015-16. Use of sterilization declined but remained the primary method (ranging from 33 to 41% of users in high and low fertility districts respectively) while condom use increased from 17 and 16% in 1998-99 to 23 and 25% in 2015-16 in low and high fertility districts respectively. CONCLUSIONS AND IMPLICATIONS: Greater reliance on traditional methods and condoms coupled with relatively low demand for modern contraception suggest inadequate access to modern contraceptives, especially in district with high fertility rates. Family planning activities need to be appropriately scaled according to need and geography to ensure the achievement of state-level improvements in family planning programs and fertility outcomes.

Multidimensional poverty, household environment and short-term morbidity in India.

Using the unit data from the second round of the Indian Human Development Survey (IHDS-II), 2011-2012, which covered 42,152 households, this paper examines the association between multidimensional poverty, household environmental deprivation and short-term morbidities (fever, cough and diarrhoea) in India. Poverty is measured in a multidimensional framework that includes the dimensions of education, health and income, while household environmental deprivation is defined as lack of access to improved sanitation, drinking water and cooking fuel. A composite index combining multidimensional poverty and household environmental deprivation has been computed, and households are classified as follows: multidimensional poor and living in a poor household environment, multidimensional non-poor and living in a poor household environment, multidimensional poor and living in a good household environment and multidimensional non-poor and living in a good household environment. Results suggest that about 23% of the population belonging to multidimensional poor households and living in a poor household environment had experienced short-term morbidities in a reference period of 30 days compared to 20% of the population belonging to multidimensional non-poor households and living in a poor household environment, 19% of the population belonging to multidimensional poor households and living in a good household environment and 15% of the population belonging to multidimensional non-poor households and living in a good household environment. Controlling for socioeconomic covariates, the odds of short-term morbidity was 1.47 [CI 1.40-1.53] among the multidimensional poor and living in a poor household environment, 1.28 [CI 1.21-1.37] among the multidimensional non-poor and living in a poor household environment and 1.21 [CI 1.64-1.28] among the multidimensional poor and living in a good household environment compared to the multidimensional non-poor and living in a good household environment. Results are robust across states and hold good for each of the three morbidities: fever, cough and diarrhoea. This establishes that along with poverty, household environmental conditions have a significant bearing on short-term morbidities in India. Public investment in sanitation, drinking water and cooking fuel can reduce the morbidity and improve the health of the population.